A virtual species set for robust and reproducible species distribution modelling tests

Carol Garzon-Lopez, Lucy Bastin, Giles Foody, Duccio Rocchini

Research output: Contribution to journalArticle

Abstract

Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation.In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
Original languageEnglish
Pages (from-to)476-479
Number of pages4
JournalData in Brief
Volume7
Early online date2 Mar 2016
DOIs
Publication statusPublished - Jun 2016

Bibliographical note

© 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Keywords

  • species distribution models
  • virtual species
  • habitat suitability

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